Abstract
Purpose - The purpose of this paper is to investigate the stability of a small scale six-degree-of-freedom nonlinear helicopter model at translator velocities and angular displacements while it is transiting to hover with different initial conditions. Design/methodology/approach - In this study, model predictive controller and linear quadratic regulator are designed and compared within each other for the stabilization of the open loop unstable nonlinear helicopter model. Findings - This study shows that the helicopter is able to reach to the desired target with good robustness, low control effort and small steady-state error under disturbances such as parameter uncertainties, mistuned controller. Originality/value - The purpose of using model predictive control for three axes of the autopilot is to decrease the control effort and to make the close-loop system insensitive against modeling uncertainties.
| Original language | English |
|---|---|
| Pages (from-to) | 810-817 |
| Number of pages | 8 |
| Journal | Aircraft Engineering and Aerospace Technology |
| Volume | 88 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - 2016 |
Bibliographical note
Publisher Copyright:© Emerald Group Publishing Limited.
Keywords
- Autonomous vehicle
- Helicopter control
- Linear quadratic controller
- Model predictive control
- Velocity control
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